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題名 A content fusion system based on user participation degree on microblog
作者 Kuo, Yau-Hwang
郭耀煌
Lee, K.-R.
Fu, M.-H.
Liu, W.-C.
貢獻者 資科系
關鍵詞 Content Fusion; Microblog; Short Text
日期 2013
上傳時間 21-五月-2015 16:16:08 (UTC+8)
摘要 Microblog users generally publish their opinions by using condensed text with some non-textual content. Besides, post responses from participants often include noise such as chaotic messages or unrelated information to the theme. Thus, we propose a Feature-based Filtering Model attempts to filter these noises. Moreover, we propose a method, which select the responses based on user participation degree, Maximum Discussion Group Detection (MDGD), to solve the problem of ignored information by current content fusion approaches. Briefly, the posts with higher user participation degree are selected to extract the short text from original post and its responses. The related content from several microblog platforms is also referred to enrich the fusion results. In the experiments, the test data set is collected from the microblog platforms of Plurk and Facebook. Finally, the Normalized Discounted Cumulative Gain (NDCG) metrics show that our method is capable to provide qualified extraction results. © 2013 Springer International Publishing Switzerland.
關聯 Studies in Computational Intelligence, 489, 83-90
資料類型 article
DOI http://dx.doi.org/10.1007/978-3-319-00651-2-12
dc.contributor 資科系-
dc.creator (作者) Kuo, Yau-Hwang-
dc.creator (作者) 郭耀煌zh_TW
dc.creator (作者) Lee, K.-R.en_US
dc.creator (作者) Fu, M.-H.en_US
dc.creator (作者) Liu, W.-C.en_US
dc.date (日期) 2013-
dc.date.accessioned 21-五月-2015 16:16:08 (UTC+8)-
dc.date.available 21-五月-2015 16:16:08 (UTC+8)-
dc.date.issued (上傳時間) 21-五月-2015 16:16:08 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75228-
dc.description.abstract (摘要) Microblog users generally publish their opinions by using condensed text with some non-textual content. Besides, post responses from participants often include noise such as chaotic messages or unrelated information to the theme. Thus, we propose a Feature-based Filtering Model attempts to filter these noises. Moreover, we propose a method, which select the responses based on user participation degree, Maximum Discussion Group Detection (MDGD), to solve the problem of ignored information by current content fusion approaches. Briefly, the posts with higher user participation degree are selected to extract the short text from original post and its responses. The related content from several microblog platforms is also referred to enrich the fusion results. In the experiments, the test data set is collected from the microblog platforms of Plurk and Facebook. Finally, the Normalized Discounted Cumulative Gain (NDCG) metrics show that our method is capable to provide qualified extraction results. © 2013 Springer International Publishing Switzerland.-
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Studies in Computational Intelligence, 489, 83-90-
dc.subject (關鍵詞) Content Fusion; Microblog; Short Text-
dc.title (題名) A content fusion system based on user participation degree on microblog-
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/978-3-319-00651-2-12-
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-3-319-00651-2-12-